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1 – 10 of 82Asif Ali Safeer, Yuanqiong He, Yuanyuan Lin, Muhammad Abrar and Zubair Nawaz
In the modern era, brand authenticity is one of the most powerful positioning strategies for sustainable business growth. This study investigated the impacts of perceived brand…
Abstract
Purpose
In the modern era, brand authenticity is one of the most powerful positioning strategies for sustainable business growth. This study investigated the impacts of perceived brand authenticity dimensions (i.e., quality commitment, heritage, sincerity) on brand love to predict Generation Y's behavior from the Asian context.
Design/methodology/approach
This is new empirical research that tested the proposed hypotheses through PLS-SEM, as PLS is the most robust technique for predicting consumer behavior. Importantly, consumers (of Generation Y) from five Asian countries contributed to this study, and data collected from 427 Asian millennials on global brands.
Findings
The results analysis revealed that perceived brand authenticity dimensions significantly impacted brand love, which positively affected Asian millennials' behavioral outcomes (i.e., continuous purchase intention and price premium).
Research limitations/implications
This study investigated dimensions of perceived brand authenticity to predict Asian millennials' behavioral outcomes in a broader perspective. Future researchers may investigate a specific culture with a larger sample size to predict millennials behavior.
Practical implications
This study has several implications that guide the global managers of several service and manufacturing industries to develop various positioning and relationship strategies for global brands to target Asian markets effectively.
Originality/value
Using attribution theory, this is the first novel research study that empirically discussed the dimensions of perceived brand authenticity, brand love, and Asian millennials' behavior toward global brands.
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Liqiong Liu, Liyi Zhang and Pinghao Ye
This study aims to analyse the basic status of application of social networking sites (SNSs) in Chinese university libraries and explore the relationship between microblog and the…
Abstract
Purpose
This study aims to analyse the basic status of application of social networking sites (SNSs) in Chinese university libraries and explore the relationship between microblog and the output of scientific research achievements in universities. This study suggests methods for improving the efficiency of SNS use in university libraries and promotes scientific research achievements and social services in universities.
Design/methodology/approach
Online survey and statistical analysis were conducted to collect the number and types of SNSs used by 112 libraries in Chinese universities under the “211 project”. This study used microblog as an example and analysed the distribution of SNS use in different types of university libraries. Correlation analysis and multiple regression analysis were used to analyse the factors related to microblogs, such as number of followings, followers, posts and published articles.
Findings
SNSs changed the information utilization behaviour of users. Survey results show that an increasing number of university libraries are using SNSs. These sites are mainly microblogs and WeChat. The proportion of the number of SNSs applied by comprehensive universities and science and technology universities was higher than that of other types of universities. Results of multiple regression analysis using microblogs showed that the number of followers has a significantly positive effect on the number of published articles of the university.
Research limitations/implications
This study has three main limitations. First, data collection is incomplete, which easily causes the error of analysis results. Second, the overall status of SNS use in libraries is lacking in accurate understanding, which indicates limitations in terms of the analysis and conclusion. Finally, the research scope was narrow and only studied the situation of libraries using microblogs. Future research should focus on the data collection and sorting, make comparative studies of different periods of data, conduct cultural studies on the user usage perspective and conduct research on the application of different social network platforms in libraries.
Practical implications
The use of SNSs has brought new challenges and opportunities to university libraries because of rapid development of the internet and the scale of expansion microblogs. Moreover, microblogs have become an important platform of university libraries for self-promotion and marketing. This study proposes methods and measures for promoting the SNS popularity of university libraries, enhancing their content and increasing the role of SNSs in their interaction.
Originality/value
Statistical analysis was conducted to analyse the status of SNS use in university libraries and the data of SNS use in different types of universities. Effective measures were offered to address the issues found in the study. The results confirmed that the number of followers has a significantly positive effect on the number of published articles of the university, which could improve the enthusiasm of university libraries in using SNS, enhance the efficiency of information service and strengthen the use awareness of the teachers and students.
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Lin Liang, Yinbo Wen and Yuanyuan Lv
In the process of vigorously promoting urbanization, the city development became a new driving force for China's prosperity. To comprehensively analyze the urban regional…
Abstract
In the process of vigorously promoting urbanization, the city development became a new driving force for China's prosperity. To comprehensively analyze the urban regional innovation system, the typical urban city was taken as an empirical sample to consider as an urban regional innovation system. The fuzzy comprehensive evaluation method was used to evaluate the operation of typical urban regional innovation system, combined the cluster analysis and Bayesian discrimination for the research and analysis. The results showed that the evaluation of regional innovation system was a national innovation strategy. Therefore, the model provides an important evidence for the urban innovative development. The proposed targeted innovation development strategy is conducive to grasp the advantages and disadvantages of the typical urban regional innovation system construction as a whole. The analysis of the structural change layers and sub-distribution of urban regional innovation effectiveness helps to clarify the stage of urban development.
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Leven J. Zheng, Yuanyuan Anna Wang, Hsuan-Yu Lin and Wei Liu
This paper explores how Industry 4.0 facilitates small and medium-sized enterprises (SMEs) in emerging markets to gain and maintain organizational legitimacy from the government…
Abstract
Purpose
This paper explores how Industry 4.0 facilitates small and medium-sized enterprises (SMEs) in emerging markets to gain and maintain organizational legitimacy from the government and market and capture value from circular economy (CE) adoption in their businesses.
Design/methodology/approach
The authors conduct an in-depth, multistakeholder case study in an SME in China’s hazardous waste recycling and re-utilization industry and apply a qualitative analysis.
Findings
The findings show that Industry 4.0 could facilitate SMEs to gain organizational legitimacy through two mechanisms, namely conforming and transcending. Conforming results in baseline-level outcomes to obtain legitimacy while transcending leads to ecosystem value-cocreation, which goes beyond government expectations and reinforces SMEs' legitimacy.
Originality/value
The authors validated the enabling role of Industry 4.0 in CE adoption in SMEs and have generated legitimation processes and strategies that facilitate SMEs to capture value from CE adoption.
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Yuanyuan Chen, Xiufeng He, Jia Xu, Lin Guo, Yanyan Lu and Rongchun Zhang
As one of the world's most productive ecosystems, ecological land plays an important role in regional and global environments. Utilizing advanced optical and synthetic aperture…
Abstract
Purpose
As one of the world's most productive ecosystems, ecological land plays an important role in regional and global environments. Utilizing advanced optical and synthetic aperture radar (SAR) data for land cover/land use research becomes increasingly popular. This research aims to investigate the complementarity of fully polarimetric SAR and optical imaging for ecological land classification in the eastern coastal area of China.
Design/methodology/approach
Four polarimetric decomposition methods, namely, H/Alpha, Yamaguchi3, VanZyl3 and Krogager, were applied to Advanced Land Observing Satellite (ALOS) SAR image for scattering parameter extraction. These parameters were merged with ALOS optical parameters for subsequent classification using the object-based quick, unbiased, efficient statistical tree decision tree method.
Findings
The experimental results indicate that an improved classification performance was obtained in the decision level when merging the two data sources. In fact, unlike classification using only optical images, the proposed approach allowed to distinguish ecological land with similar spectrum but different scattering. Moreover, unlike classification using only polarimetric information, the integration of polarimetric and optical data allows to accurately distinguish reed from artemisia and sand from salt field and therefore achieve a detailed classification of the coastal area characteristics.
Originality/value
This research proposed an integrated classification method for coastal ecological land with polarimetric SAR and optical data. The object-based and decision-level fusion enables effective ecological land classification in coastal area was verified.
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Haiyan Jiang, Jing Jia and Yuanyuan Hu
This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.
Abstract
Purpose
This study aims to investigate whether firms purchase directors' and officers' liability (D&O) insurance when the country-level economic policy uncertainty (EPU) is high.
Design/methodology/approach
This study uses D&O insurance data from Chinese listed firms between 2003 and 2019 to conduct regression analyses to examine the association between D&O insurance and EPU.
Findings
The results show that government EPU, despite being an exogenous factor, increases the likelihood of firms' purchasing D&O insurance, and this effect is more pronounced when firms are exposed to great share price crash risk and high litigation risk, suggesting that firms intend to purchase D&O insurance possibly due to the accentuated stock price crash risk and litigation risk associated with EPU. In addition, the results indicate that the effect of EPU on the D&O insurance purchase decision is moderated by the provincial capital market development and internal control quality.
Practical implications
The study highlights the role of uncertain economic policies in shareholder approval of D&O insurance purchases.
Originality/value
The study enriches the literature on the determinants of D&O insurance purchases by documenting novel evidence that country-level EPU is a key institutional factor shaping firms' decisions to purchase D&O insurance.
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Zhe Ouyang, Yuanyuan Zhang and Xi Hu
The exposure of recruitment discrimination often leads to negative publicity, which can substantially affect organizational attractiveness and the behavioral intentions of…
Abstract
Purpose
The exposure of recruitment discrimination often leads to negative publicity, which can substantially affect organizational attractiveness and the behavioral intentions of stakeholders. Therefore, this study aims to examine the relationship between negative publicity and intention to pursue a job, with organizational attractiveness as a mediator and perceived corporate social responsibility (CSR) and corporate product quality (CPQ) as two moderators.
Design/methodology/approach
A survey completed by 382 college students in three universities in Nanjing, China, was used to empirically test the research hypotheses. The respondents were asked their intention to apply for a job at Meituan after the exposure of its recruitment discrimination scandal in 2017.
Findings
Perceived negative publicity negatively influences intention to pursue employment via organizational attractiveness. In addition, moderated path analysis indicated that perceived CSR strengthens and perceived CPQ weakens the direct effect of perceived negative publicity on organizational attractiveness and its indirect effect on intention to pursue employment.
Research limitations/implications
Future research should seek to replicate these findings in other contexts and populations, including people who are not new to the job market and to control additional firm-level and contextual variables.
Originality/value
This research confirms a moderated mediation model positioning organizational attractiveness as a mediator of negative publicity's effects on intention to pursue employment and organizational image as a moderator of such effects. This study also contributes to the debate concerning the effect of corporate image by demonstrating opposing effects of its different dimensions amid a discrimination scandal.
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Guodong Ni, Qi Zhou, Xinyue Miao, Miaomiao Niu, Yuzhuo Zheng, Yuanyuan Zhu and Guoxuan Ni
New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave…
Abstract
Purpose
New generation of construction workers (NGCWs) who were born in the 1980s and later have gradually become the main workforce of Chinese construction industry. They may behave differently when dealing with knowledge-related activities due to divergent characteristics caused by generational discrepancy. To provide a theoretical foundation for construction companies and safety managers to improve safety management, this research explores the factors and paths impacting the NGCWs' ability to share their safety knowledge.
Design/methodology/approach
Based on literature review, main factors that influence the safety knowledge sharing of the NGCWs were identified. Decision-Making Trial and Evaluation Laboratory and Interpretive Structural Modeling were applied to identify the hierarchical and contextual relations among the factors influencing the safety knowledge sharing of the NGCWs.
Findings
The results showed that sharing atmosphere ranked first in centrality and had a high degree of influence and being influenced, indicating itself an extremely important influencing factor of safety knowledge sharing of NGCWs. Six root influencing factors were identified, including individual characteristics, work pressure, sharing platform, incentive mechanism, leadership support and safety management system.
Research limitations/implications
The number of influencing factors of safety knowledge sharing of the NGCWs identified in this study is limited, and the data obtained by the expert scoring method is subjective. In future studies, the model should be further developed and validated by incorporating experts from different fields to improve its integrity and applicability.
Practical implications
The influencing factors identified in this paper can provide a basis for construction companies and safety managers to improve productivity and safety management by taking relevant measures to promote safety knowledge sharing. The research contributes to the understanding knowledge management in the context of the emerging market. It helps to answer the question of how the market can maintain the economic growth success through effective knowledge management.
Originality/value
This paper investigates the influencing factors of NGCWs' safety knowledge sharing from the perspective of intergenerational differences, and the 13 influencing factor index system established expands the scope of research on factors influencing safety knowledge sharing among construction workers and fills the gap in safety knowledge sharing research on young construction workers. Furthermore, this paper establishes a multi-layer recursive structure model to clarify the influence path of the influencing factors and contributes to the understanding of safety knowledge sharing mechanism.
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Xiaodong Sun, Yuanyuan Liu, Bettina Chocholaty and Steffen Marburg
Prior investigations concerning misalignment resulting from journal deformation typically relied on predefined misaligned angles. Nevertheless, scant attention has been devoted to…
Abstract
Purpose
Prior investigations concerning misalignment resulting from journal deformation typically relied on predefined misaligned angles. Nevertheless, scant attention has been devoted to the determination of these misaligned angles. Furthermore, existing studies commonly treat the journal as rigid under such circumstances. Therefore, the present study aims to introduce a framework for determining misaligned angles and to compare outcomes between rigid and flexible journal configurations.
Design/methodology/approach
The bearing forces are considered as an external load leading to journal deformation. This deformation is calculated using the finite element method. The pressure distribution producing the bearing force is solved using the finite difference method. The mesh grids in the finite element and finite difference methods are matched for coupling calculation. By iteration, the pressure distribution of the lubricant film at the equilibrium position is determined.
Findings
Results show that the deformation-induced misalignment has a significant influence on the performance of the bearing when the journal flexibility is taken into account. The parametric study reveals that the misalignment relies on system parameters such as bearing length-diameter ratio and static load.
Originality/value
The investigation of this work provides a quantification method of misalignment of hydrodynamic bearings considering the elastic deformation of the journal, which assists in the design of bearing in a rotor-bearing system.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0337/
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Fang Liu, Junbang Lan, Weichun Zhu, Yuanyuan Gong and Xue Peng
Drawing upon social comparison theory, this paper explores the (in)congruence effect of leader and follower overqualification on leader's downward envy, which in turn leads to…
Abstract
Purpose
Drawing upon social comparison theory, this paper explores the (in)congruence effect of leader and follower overqualification on leader's downward envy, which in turn leads to leader undermining behavior.
Design/methodology/approach
Using two-wave, multi-sourced data gathered in China, a polynomial regression was conducted on 301 leader-follower dyads.
Findings
Results show asymmetrical incongruence effects, indicating greater leader's downward envy when leader overqualification was lower than follower overqualification. In addition, by increasing downward envy, leader-follower (in)congruence in overqualification has an indirect positive effect on leader undermining behavior.
Practical implications
This study highlights the importance of being conscious of both parties’ overqualification levels to avoid unfavorable outcomes. Meanwhile, training for both parties is crucial, offering a holistic understanding of leader-follower overqualification differences and downward envy, as well as skills to manage “triggers” of leader undermining.
Originality/value
Our study is among the first to examine the effects of overqualification from a leader-follower dyadic congruence perspective. It suggests that leader's downward envy and undermining behaviors toward followers are influenced by both follower and leader overqualification.
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